Evaluation of Internet-Based Crowdsourced Fundraising to Cover Health Care Costs in the United States

Author:

Angraal Suveen1,Zachariah Arun George2,Raaisa Raaisa3,Khera Rohan45,Rao Praveen26,Krumholz Harlan M.457,Spertus John A.8

Affiliation:

1. Department of Internal Medicine, University of Missouri Kansas City School of Medicine, Kansas City

2. Department of Electrical Engineering and Computer Science, University of Missouri, Columbia

3. Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut

4. Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut

5. Center for Outcomes Research and Evaluation, Yale-New Haven Health, New Haven, Connecticut

6. Department of Health Management and Informatics, University of Missouri, Columbia

7. Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut

8. Health Outcomes Research, St Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City

Publisher

American Medical Association (AMA)

Subject

General Medicine

Reference6 articles.

1. The state of US health, 1990-2016: burden of diseases, injuries, and risk factors among US states.;Mokdad;JAMA,2018

2. BioWordVec, improving biomedical word embeddings with subword information and MeSH.;Zhang;Sci Data,2019

3. Annual out-of-pocket expenditures and financial hardship among cancer survivors aged 18-64 years—United States, 2011-2016.;Ekwueme;MMWR Morb Mortal Wkly Rep,2019

4. beautifulsoup4 4.8.2. The Python Package Index. Published 2019. Accessed November 9, 2020. https://pypi.org/project/beautifulsoup4/?

5. Zhu? H, Paschalidis? IC, Tahmasebi? A. Clinical concept extraction with contextual word embedding. arXiv. Preprint posted 2018. Accessed November 9, 2020. https://arxiv.org/abs/1810.10566

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